{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"name":"python","version":"3.7.6","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"code","source":"!wget https://setup.johnsnowlabs.com/nlu/kaggle.sh  -O - | bash\n! pip install --index-url https://test.pypi.org/simple/ --extra-index-url https://pypi.org/simple peanut_butter_data_time==3.0.1rc63 > /dev/null \n# https://setup.johnsnowlabs.com/nlu/kaggle.sh \n\nimport nlu","metadata":{"trusted":true},"execution_count":7,"outputs":[{"name":"stdout","text":"--2021-05-04 05:51:56--  https://raw.githubusercontent.com/JohnSnowLabs/nlu/3.0.1rc1/scripts/kaggle_setup.sh\nResolving raw.githubusercontent.com (raw.githubusercontent.com)... 185.199.109.133, 185.199.108.133, 185.199.110.133, ...\nConnecting to raw.githubusercontent.com (raw.githubusercontent.com)|185.199.109.133|:443... connected.\nHTTP request sent, awaiting response... 200 OK\nLength: 1567 (1.5K) [text/plain]\nSaving to: ‘STDOUT’\n\n-                   100%[===================>]   1.53K  --.-KB/s    in 0s      \n\n2021-05-04 05:51:57 (32.0 MB/s) - written to stdout [1567/1567]\n\nsetup Kaggle for PySpark 3.0.2 and Spark NLP 3.0.2\nE: Failed to fetch http://security.ubuntu.com/ubuntu/pool/universe/o/openjdk-8/openjdk-8-jre-headless_8u252-b09-1~18.04_amd64.deb  404  Not Found [IP: 91.189.88.142 80]\nE: Failed to fetch http://security.ubuntu.com/ubuntu/pool/universe/o/openjdk-8/openjdk-8-jdk-headless_8u252-b09-1~18.04_amd64.deb  404  Not Found [IP: 91.189.88.142 80]\nE: Unable to fetch some archives, maybe run apt-get update or try with --fix-missing?\n  % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current\n                                 Dload  Upload   Total   Spent    Left  Speed\n100  210M  100  210M    0     0  8978k      0  0:00:23  0:00:23 --:--:--  9.8M103M    0     0  8064k      0  0:00:26  0:00:13  0:00:13 9760k\n\u001b[33mWARNING: You are using pip version 20.1.1; however, version 21.1.1 is available.\nYou should consider upgrading via the '/opt/conda/bin/python3.7 -m pip install --upgrade pip' command.\u001b[0m\n\u001b[33mWARNING: You are using pip version 20.1.1; however, version 21.1.1 is available.\nYou should consider upgrading via the '/opt/conda/bin/python3.7 -m pip install --upgrade pip' command.\u001b[0m\n","output_type":"stream"}]},{"cell_type":"code","source":"import nlu\nimport pandas as pd\ndf = pd.read_csv('/kaggle/input/twitter-airline-sentiment/Tweets.csv')\ndf","metadata":{"trusted":true},"execution_count":8,"outputs":[{"execution_count":8,"output_type":"execute_result","data":{"text/plain":"                 tweet_id airline_sentiment  airline_sentiment_confidence  \\\n0      570306133677760513           neutral                        1.0000   \n1      570301130888122368          positive                        0.3486   \n2      570301083672813571           neutral                        0.6837   \n3      570301031407624196          negative                        1.0000   \n4      570300817074462722          negative                        1.0000   \n...                   ...               ...                           ...   \n14635  569587686496825344          positive                        0.3487   \n14636  569587371693355008          negative                        1.0000   \n14637  569587242672398336           neutral                        1.0000   \n14638  569587188687634433          negative                        1.0000   \n14639  569587140490866689           neutral                        0.6771   \n\n               negativereason  negativereason_confidence         airline  \\\n0                         NaN                        NaN  Virgin America   \n1                         NaN                     0.0000  Virgin America   \n2                         NaN                        NaN  Virgin America   \n3                  Bad Flight                     0.7033  Virgin America   \n4                  Can't Tell                     1.0000  Virgin America   \n...                       ...                        ...             ...   \n14635                     NaN                     0.0000        American   \n14636  Customer Service Issue                     1.0000        American   \n14637                     NaN                        NaN        American   \n14638  Customer Service Issue                     0.6659        American   \n14639                     NaN                     0.0000        American   \n\n      airline_sentiment_gold             name negativereason_gold  \\\n0                        NaN          cairdin                 NaN   \n1                        NaN         jnardino                 NaN   \n2                        NaN       yvonnalynn                 NaN   \n3                        NaN         jnardino                 NaN   \n4                        NaN         jnardino                 NaN   \n...                      ...              ...                 ...   \n14635                    NaN  KristenReenders                 NaN   \n14636                    NaN         itsropes                 NaN   \n14637                    NaN         sanyabun                 NaN   \n14638                    NaN       SraJackson                 NaN   \n14639                    NaN        daviddtwu                 NaN   \n\n       retweet_count                                               text  \\\n0                  0                @VirginAmerica What @dhepburn said.   \n1                  0  @VirginAmerica plus you've added commercials t...   \n2                  0  @VirginAmerica I didn't today... Must mean I n...   \n3                  0  @VirginAmerica it's really aggressive to blast...   \n4                  0  @VirginAmerica and it's a really big bad thing...   \n...              ...                                                ...   \n14635              0  @AmericanAir thank you we got on a different f...   \n14636              0  @AmericanAir leaving over 20 minutes Late Flig...   \n14637              0  @AmericanAir Please bring American Airlines to...   \n14638              0  @AmericanAir you have my money, you change my ...   \n14639              0  @AmericanAir we have 8 ppl so we need 2 know h...   \n\n      tweet_coord              tweet_created tweet_location  \\\n0             NaN  2015-02-24 11:35:52 -0800            NaN   \n1             NaN  2015-02-24 11:15:59 -0800            NaN   \n2             NaN  2015-02-24 11:15:48 -0800      Lets Play   \n3             NaN  2015-02-24 11:15:36 -0800            NaN   \n4             NaN  2015-02-24 11:14:45 -0800            NaN   \n...           ...                        ...            ...   \n14635         NaN  2015-02-22 12:01:01 -0800            NaN   \n14636         NaN  2015-02-22 11:59:46 -0800          Texas   \n14637         NaN  2015-02-22 11:59:15 -0800  Nigeria,lagos   \n14638         NaN  2015-02-22 11:59:02 -0800     New Jersey   \n14639         NaN  2015-02-22 11:58:51 -0800     dallas, TX   \n\n                    user_timezone  \n0      Eastern Time (US & Canada)  \n1      Pacific Time (US & Canada)  \n2      Central Time (US & Canada)  \n3      Pacific Time (US & Canada)  \n4      Pacific Time (US & Canada)  \n...                           ...  \n14635                         NaN  \n14636                         NaN  \n14637                         NaN  \n14638  Eastern Time (US & Canada)  \n14639                         NaN  \n\n[14640 rows x 15 columns]","text/html":"<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>tweet_id</th>\n      <th>airline_sentiment</th>\n      <th>airline_sentiment_confidence</th>\n      <th>negativereason</th>\n      <th>negativereason_confidence</th>\n      <th>airline</th>\n      <th>airline_sentiment_gold</th>\n      <th>name</th>\n      <th>negativereason_gold</th>\n      <th>retweet_count</th>\n      <th>text</th>\n      <th>tweet_coord</th>\n      <th>tweet_created</th>\n      <th>tweet_location</th>\n      <th>user_timezone</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>570306133677760513</td>\n      <td>neutral</td>\n      <td>1.0000</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>Virgin America</td>\n      <td>NaN</td>\n      <td>cairdin</td>\n      <td>NaN</td>\n      <td>0</td>\n      <td>@VirginAmerica What @dhepburn said.</td>\n      <td>NaN</td>\n      <td>2015-02-24 11:35:52 -0800</td>\n      <td>NaN</td>\n      <td>Eastern Time (US &amp; Canada)</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>570301130888122368</td>\n      <td>positive</td>\n      <td>0.3486</td>\n      <td>NaN</td>\n      <td>0.0000</td>\n      <td>Virgin America</td>\n      <td>NaN</td>\n      <td>jnardino</td>\n      <td>NaN</td>\n      <td>0</td>\n      <td>@VirginAmerica plus you've added commercials t...</td>\n      <td>NaN</td>\n      <td>2015-02-24 11:15:59 -0800</td>\n      <td>NaN</td>\n      <td>Pacific Time (US &amp; Canada)</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>570301083672813571</td>\n      <td>neutral</td>\n      <td>0.6837</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>Virgin America</td>\n      <td>NaN</td>\n      <td>yvonnalynn</td>\n      <td>NaN</td>\n      <td>0</td>\n      <td>@VirginAmerica I didn't today... Must mean I n...</td>\n      <td>NaN</td>\n      <td>2015-02-24 11:15:48 -0800</td>\n      <td>Lets Play</td>\n      <td>Central Time (US &amp; Canada)</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>570301031407624196</td>\n      <td>negative</td>\n      <td>1.0000</td>\n      <td>Bad Flight</td>\n      <td>0.7033</td>\n      <td>Virgin America</td>\n      <td>NaN</td>\n      <td>jnardino</td>\n      <td>NaN</td>\n      <td>0</td>\n      <td>@VirginAmerica it's really aggressive to blast...</td>\n      <td>NaN</td>\n      <td>2015-02-24 11:15:36 -0800</td>\n      <td>NaN</td>\n      <td>Pacific Time (US &amp; Canada)</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>570300817074462722</td>\n      <td>negative</td>\n      <td>1.0000</td>\n      <td>Can't Tell</td>\n      <td>1.0000</td>\n      <td>Virgin America</td>\n      <td>NaN</td>\n      <td>jnardino</td>\n      <td>NaN</td>\n      <td>0</td>\n      <td>@VirginAmerica and it's a really big bad thing...</td>\n      <td>NaN</td>\n      <td>2015-02-24 11:14:45 -0800</td>\n      <td>NaN</td>\n      <td>Pacific Time (US &amp; Canada)</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>14635</th>\n      <td>569587686496825344</td>\n      <td>positive</td>\n      <td>0.3487</td>\n      <td>NaN</td>\n      <td>0.0000</td>\n      <td>American</td>\n      <td>NaN</td>\n      <td>KristenReenders</td>\n      <td>NaN</td>\n      <td>0</td>\n      <td>@AmericanAir thank you we got on a different f...</td>\n      <td>NaN</td>\n      <td>2015-02-22 12:01:01 -0800</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>14636</th>\n      <td>569587371693355008</td>\n      <td>negative</td>\n      <td>1.0000</td>\n      <td>Customer Service Issue</td>\n      <td>1.0000</td>\n      <td>American</td>\n      <td>NaN</td>\n      <td>itsropes</td>\n      <td>NaN</td>\n      <td>0</td>\n      <td>@AmericanAir leaving over 20 minutes Late Flig...</td>\n      <td>NaN</td>\n      <td>2015-02-22 11:59:46 -0800</td>\n      <td>Texas</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>14637</th>\n      <td>569587242672398336</td>\n      <td>neutral</td>\n      <td>1.0000</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>American</td>\n      <td>NaN</td>\n      <td>sanyabun</td>\n      <td>NaN</td>\n      <td>0</td>\n      <td>@AmericanAir Please bring American Airlines to...</td>\n      <td>NaN</td>\n      <td>2015-02-22 11:59:15 -0800</td>\n      <td>Nigeria,lagos</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>14638</th>\n      <td>569587188687634433</td>\n      <td>negative</td>\n      <td>1.0000</td>\n      <td>Customer Service Issue</td>\n      <td>0.6659</td>\n      <td>American</td>\n      <td>NaN</td>\n      <td>SraJackson</td>\n      <td>NaN</td>\n      <td>0</td>\n      <td>@AmericanAir you have my money, you change my ...</td>\n      <td>NaN</td>\n      <td>2015-02-22 11:59:02 -0800</td>\n      <td>New Jersey</td>\n      <td>Eastern Time (US &amp; Canada)</td>\n    </tr>\n    <tr>\n      <th>14639</th>\n      <td>569587140490866689</td>\n      <td>neutral</td>\n      <td>0.6771</td>\n      <td>NaN</td>\n      <td>0.0000</td>\n      <td>American</td>\n      <td>NaN</td>\n      <td>daviddtwu</td>\n      <td>NaN</td>\n      <td>0</td>\n      <td>@AmericanAir we have 8 ppl so we need 2 know h...</td>\n      <td>NaN</td>\n      <td>2015-02-22 11:58:51 -0800</td>\n      <td>dallas, TX</td>\n      <td>NaN</td>\n    </tr>\n  </tbody>\n</table>\n<p>14640 rows × 15 columns</p>\n</div>"},"metadata":{}}]},{"cell_type":"code","source":"sentiment_predictions = nlu.load('sentiment').predict(df, output_level='document')\nsentiment_predictions['sentiment'].value_counts().plot.bar(title='Count of each sentiment label predicted')","metadata":{"trusted":true},"execution_count":9,"outputs":[{"name":"stdout","text":"analyze_sentiment download started this may take some time.\nApprox size to download 4.9 MB\n[OK!]\n","output_type":"stream"},{"execution_count":9,"output_type":"execute_result","data":{"text/plain":"<matplotlib.axes._subplots.AxesSubplot at 0x7fcd98124990>"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"<Figure size 432x288 with 1 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\n"},"metadata":{"needs_background":"light"}}]},{"cell_type":"code","source":"sentiment_predictions.groupby('airline')['sentiment'].value_counts().plot.bar(figsize=(20,8), title = 'Sentiment counts grouped by tweet airline')","metadata":{"trusted":true},"execution_count":10,"outputs":[{"execution_count":10,"output_type":"execute_result","data":{"text/plain":"<matplotlib.axes._subplots.AxesSubplot at 0x7fcd994b5e90>"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"<Figure size 1440x576 with 1 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\n"},"metadata":{"needs_background":"light"}}]},{"cell_type":"code","source":"counts  = sentiment_predictions.groupby('tweet_location')['sentiment'].value_counts()\n\ncounts[counts>50].plot.bar(figsize=(20,8), title = 'Sentiment counts grouped by tweet location')","metadata":{"trusted":true},"execution_count":11,"outputs":[{"execution_count":11,"output_type":"execute_result","data":{"text/plain":"<matplotlib.axes._subplots.AxesSubplot at 0x7fcd8a2e3990>"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"<Figure size 1440x576 with 1 Axes>","image/png":"iVBORw0KGgoAAAANSUhEUgAABH4AAAJ5CAYAAADYYPebAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjEsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+j8jraAAAgAElEQVR4nOzdebhkV1kv/u9LGghTGMMMaeZRQAgIgiKCA4ZJBQWBC4LiDChXDJOIE7n+lCtOFxHFyBwmiQZlFJBBMGGGoKAECAQSQCAiM+/vj72bnHSf7t6n091VvfrzeZ7znKraNby1alXtXd9ae+3q7gAAAAAwngutugAAAAAADgzBDwAAAMCgBD8AAAAAgxL8AAAAAAxK8AMAAAAwKMEPAAAAwKAEPwBwkFXV06rqCauug9WpqgdX1Rt3s2x7VXVVbTvYdR0sVfUbVfXsg/yY16yq/66qIw7m4wLAqgl+ACBJVd2hqt5cVZ+vqs9W1Zuq6tb74X53+YLf3T/b3b91Qe97H2o56F+2l6iqM6rqLquuY0QrCljWIrjauV9190e7+5Ld/Y1V1gUAB9uwvyQBwFJVdVSSv0/yc0lOSnKRJN+V5CurrIv9q6q2dffXV10HAMDBZMQPACTXT5Lufl53f6O7v9Tdr+zud++4QlU9pKpOr6r/qqpXVNUxG5Z1Vf1sVX1wXv6nNblRkqclud28i8nn5uv/dVX99nz6e6rqzKp6dFWdXVVnVdW9quqHqurf59FHj93wWBeqquOr6j+q6jNVdVJVXW5etmOkxYOq6qNV9emqety87AeTPDbJj8+1vGuzhqiqa1TVS6rqnPn+/2TD4z6+qj4y1/k3VXXpjc9hp/v51miLedTJSfNtzq2q91XVsfOyZyW5ZpK/m+t6dFUdWVXPnh//c1X1r1V1pd3Ue8uqesd8vy+sqhds0ra/VlWfTPLMqrpoVf1hVX1i/vvDqrrofP1dRmfN7XndDa/b06rqVfPjvX6nfnDDedlnq+rfqurHNiy7fFWdXFVfqKq3JbnOZs9nJw+Zazyrqh4138+Vq+p/quryG+77VvPrdeGdat/lNa+qO1XVezZc59VzPTvOv7Gq7jWfvmpVvXi+7w9X1cM3XG+3/TDJG+b/n5sf93Z7e6JVdY+5X3yuql5X03tnx7Ld9cnrVNVr58s+XVXPqarLzMs261fnG4k0P7+T59frQ1X10xsec7d9FgAONYIfAEj+Pck3qurEqrprVV1248L5i/Bjk/xIkqOT/HOS5+10H3dLcuskN0/yY0l+oLtPT/KzSd4y72Jymd08/pWTHJnkakl+PclfJHlAkltlGnn061V17fm6D09yryR3THLVJP+V5E93ur87JLlBkjvPt71Rd/9jkt9N8oK5lpvvXERNc5/8fZKPJNk+1/P8efGD5787Jbl2kksm+ZPdPJ/N3GO+r8skOXnHbbv7gUk+muTuc12/l+RBSS6d5BpJLp+pDb+0Sb0XSfLSJH+d5HKZXpMf3ulqV56XHZPkYUkel+S2SW6R6bW6TZLHb+F53D/JbyW5QpJ3JnnOXMslkrwqyXOTXDHJ/ZL8WVXdZL7dnyb5cpKrJHnI/Lc3d0pyvSTfn+T4qrpLd38yyesy9bEdHpDk+d39tY033s1r/pYk162qK8wByE2TXL2qLlVVF8vU5/65qi6U5O+SvCtTP7hzkkdW1Q/Md7+nfvjd8//LzI/7lj09yaq6fqbX7pGZ3l8vzxTYXGQvfbKSPHl+/Btl6i+/MT/3zfrVzp6X5Mz59vdO8rtVdecNyzftswBwqBH8AHDY6+4vZApLOlPocs48EmDHKJOfSfLk7j593lXod5PcYuNojyQndPfnuvujSf4pU7Cw1NeS/M78xf35mUKFp3b3ud39viTvS3KzDbU8rrvP7O6vZPqie+86/3wqT5pHLb0r0xf3XUKe3bhNpi/Bv9rdX+zuL3f3jhEw90/ylO7+z+7+7ySPSXLfWj6Pyxu7++Xz/CrP2ktNX8sU+Fx3HoF12vwa7ey2mXZb/6Pu/lp3vyTJ23a6zjeTPLG7v9LdX5qfx29299ndfU6SJyV54MLnkCSndPcb5rZ/XKbRXNfIFPyd0d3P7O6vd/fbk7w402tzRJIfTfLrc7u+N8mJCx7rSfP135PkmZnCpMy3fUDyrbDufpnadK+6+8tJTs0Uzhyb5N1J3pjk9pna84Pd/ZlMIebR3f2b3f3V7v7PTO+N+853taQfLvXjmdr1VfN74PeTXCzJd2YPfbK7PzTf5ivza/mUTEHUXs2v2R2S/Np8n+9M8oycvy9spc8CwNoyxw8AJJlH5zw4mXbZSfLsJH+Y6Uv1MUmeWlV/sOEmlWn0wUfm85/csOx/Mo2IWeozGyac3TGy5VMbln9pw/0dk+SlVfXNDcu/kWTjrlD7Wss1knxkN/PgXDXnPdfMp7ft9Lh7snNNR9bu59x51lzL8+ddd56dKWT42k7Xu2qSj3d3b7jsYztd55w57NjT87jqwudwvvvv7v+uqs/Otz8myXfUvDvfbNv8XI6eT2+sbWMNe32s+frfNp9+WZKnzaPArp/k8929c+C1J69P8j2ZRru8PtNonTtmmtPq9fN1jkly1Z2ezxGZRrvtWL63frjU+V6T7v5mVX0s0/vra9lNn6yqKyb5o0yj4i6V6QfN/9rCY362u8/dcNlHMoVhO2ylzwLA2jLiBwB20t0fyLT70E3niz6W5Ge6+zIb/i7W3W9ecnf7ubyPJbnrTrUc2d0f3w+1fCzJNXczauMTmb7s73DNJF/PFFB9McnFdyyYR6EcvaCeTeuaR+88qbtvnGnUx92S/K9NbndWkqtVVW247Bp7uu/dPI9PzKd3fh5X3uQxr7Fh+SUz7Ub2iUxt9/qdXpdLdvfPJTknU1ttrO2am9z3bh9rY51zkHVSptFLD8yeR/ts9prvCH6+ez79+kzBzx1zXvDzsSQf3un5XKq7f2jD8t31w632+fO9JvPreY0kH8+e++ST58e6WXcflWkU1Ma+sKc6PpHkclV1qQ2XXXN+TAAYiuAHgMNeTZPyPqqqrj6fv0amkT7/Ml/laUkes2O+lqq6dFXdZ+HdfyrTHCoX2U/lPi3J7+zYzayqjq6qe26hlu3z/C2beVumMOWEqrpETZMs335e9rwkv1xV15oDjx1zx3w90xxJR1bVcTVNMPz4JBfdwnP6VKZ5gzI/pztV1bfNAdIXMo362OwQ3G+ZL//Fqto2t8Nt9vJYz0vy+LndrpBpTqUdhzt/V5KbVNUtqurIzPPF7OSHquoO8+v5W0ne2t0fyzQPzfWr6oFVdeH579bz/ErfSPKSJL9RVRevqhtnmsdob54wX/8mSX4yyQs2LPubTCPU7rGh/s1s9pq/OdMcULdJ8rZ5d8JjknxHzpuY+W1JvlDTxNgXq6ojquqmVXXrefme+uE5mXax+9ZruhcnJTmuqu48959HZRp99ObsuU9eKsl/Z5pE+mpJfnWT575pDfNr9uYkT57v82ZJHpp5ziYAGIngBwCSczN96X1rVX0xU+Dz3kxfQNPdL03yfzLtevSFedldF973azPN0fPJqvr0fqj1qZkmmn1lVZ071/odC2/7wvn/Z6rq7TsvnAOKuye5bqaJcc/MNP9KkvxVppElb0jy4UwTFf/SfLvPJ/n5THOkfDzTyJnzHeVrL56cKYz5XFX970wTMr8oU+hzeqZRKLuEG9391UwTbj80yecyjfj4+0yhwe78dqY5bt6d5D1J3j5flu7+9yS/meTVST6Yae6bnT03yROTfDbTRMj3n297bqZJmO+baTTJJzP1mR0B2C9m2uXuk5lGkz1zTw0ye32SDyV5TZLf7+5Xbnjub8oUrry9u8/Yw33s8pp39xfn5/2+uQ2TKUT7SHefPV9nR1+4RabX+9OZXt9Lz9ffbT/s7v9J8jtJ3jS/prfd05Ps7n/L9Nr98fw4d880KfNX99Inn5Tklkk+n+SUTOHaRjv3q53dL9OE0Z/INEn4E7v7VXuqFQAORXX+3eIBAA5dVfXWJE/r7iXBylbv+6+TnNndWzkK2AFTVa9N8tzufsaqawEA1pcRPwDAIauq7lhVV5539XpQpqOf/eOq6zrQ5l2ubpnz7/4FALALR/UCAA5lN8g0R8wlk/xHknt391mrLenAqqoTk9wrySN2OioVAMAu7OoFAAAAMCi7egEAAAAMSvADAAAAMKiDOsfPFa5whd6+ffvBfEgAAACAoZ122mmf7u6jN1t2UIOf7du359RTTz2YDwkAAAAwtKr6yO6W2dULAAAAYFCCHwAAAIBBCX4AAAAABiX4AQAAABiU4AcAAABgUIIfAAAAgEEJfgAAAAAGJfgBAAAAGJTgBwAAAGBQgh8AAACAQQl+AAAAAAYl+AEAAAAYlOAHAAAAYFCCHwAAAIBBCX4AAAAABiX4AQAAABiU4AcAAABgUIIfAAAAgEFtW3UB+2r78aesuoRdnHHCcasuAQAAAOBbjPgBAAAAGJTgBwAAAGBQgh8AAACAQQl+AAAAAAYl+AEAAAAYlOAHAAAAYFCCHwAAAIBBCX4AAAAABiX4AQAAABiU4AcAAABgUIIfAAAAgEEJfgAAAAAGJfgBAAAAGNS2VRcAAMDBt/34U1Zdwi7OOOG4VZcAAMMx4gcAAABgUIIfAAAAgEEJfgAAAAAGJfgBAAAAGJTgBwAAAGBQgh8AAACAQQl+AAAAAAYl+AEAAAAYlOAHAAAAYFCCHwAAAIBBCX4AAAAABiX4AQAAABiU4AcAAABgUIIfAAAAgEEJfgAAAAAGJfgBAAAAGJTgBwAAAGBQgh8AAACAQQl+AAAAAAYl+AEAAAAY1KLgp6p+uareV1XvrarnVdWRVXW5qnpVVX1w/n/ZA10sAAAAAMvtNfipqqsleXiSY7v7pkmOSHLfJMcneU13Xy/Ja+bzAAAAAKyJpbt6bUtysaraluTiST6R5J5JTpyXn5jkXvu/PAAAAAD21V6Dn+7+eJLfT/LRJGcl+Xx3vzLJlbr7rPk6ZyW54ma3r6qHVdWpVXXqOeecs/8qBwAAAGCPluzqddlMo3uuleSqSS5RVQ9Y+gDd/fTuPra7jz366KP3vVIAAAAAtmTJrl53SfLh7j6nu7+W5CVJvjPJp6rqKkky/z/7wJUJAAAAwFYtCX4+muS2VXXxqqokd05yepKTkzxovs6DkrzswJQIAAAAwL7YtrcrdPdbq+pFSd6e5OtJ3pHk6UkumeSkqnpopnDoPgeyUAAAAAC2Zq/BT5J09xOTPHGni7+SafQPAAAAAGto6eHcAQAAADjECH4AAAAABiX4AQAAABiU4AcAAABgUIIfAAAAgEEJfgAAAAAGJfgBAAAAGJTgBwAAAGBQgh8AAACAQQl+AAAAAAYl+AEAAAAYlOAHAAAAYFCCHwAAAIBBCX4AAAAABiX4AQAAABiU4AcAAABgUIIfAAAAgEEJfgAAAAAGtW3VBQAAAAD7Zvvxp6y6hF2cccJxqy6BDYz4AQAAABiU4AcAAABgUIIfAAAAgEEJfgAAAAAGJfgBAAAAGJTgBwAAAGBQgh8AAACAQQl+AAAAAAa1bdUFAAAAABxI248/ZdUl7OKME447KI9jxA8AAADAoAQ/AAAAAIMS/AAAAAAMSvADAAAAMCjBDwAAAMCgBD8AAAAAgxL8AAAAAAxK8AMAAAAwqG2rLgAAANbV9uNPWXUJuzjjhONWXQIXgD4FHGxG/AAAAAAMSvADAAAAMCjBDwAAAMCgBD8AAAAAgxL8AAAAAAxK8AMAAAAwKMEPAAAAwKAEPwAAAACDEvwAAAAADErwAwAAADAowQ8AAADAoAQ/AAAAAIMS/AAAAAAMatuqC+DA2n78KasuYRdnnHDcqksAAACAw4IRPwAAAACDEvwAAAAADErwAwAAADAowQ8AAADAoAQ/AAAAAIMS/AAAAAAMSvADAAAAMCjBDwAAAMCgBD8AAAAAg9q26gIAOLxtP/6UVZewizNOOG7VJQAAwH5hxA8AAADAoAQ/AAAAAIMS/AAAAAAMSvADAAAAMCjBDwAAAMCgBD8AAAAAgxL8AAAAAAxK8AMAAAAwKMEPAAAAwKAEPwAAAACDEvwAAAAADErwAwAAADAowQ8AAADAoLatugBYB9uPP2XVJWzqjBOOW3UJAAAAHMKM+AEAAAAYlOAHAAAAYFCCHwAAAIBBCX4AAAAABiX4AQAAABiU4AcAAABgUIIfAAAAgEEJfgAAAAAGtW3VBQAAe7f9+FNWXcIuzjjhuFWXAADAXhjxAwAAADCoRcFPVV2mql5UVR+oqtOr6nZVdbmqelVVfXD+f9kDXSwAAAAAyy0d8fPUJP/Y3TdMcvMkpyc5Pslruvt6SV4znwcAAABgTew1+Kmqo5J8d5K/TJLu/mp3fy7JPZOcOF/txCT3OlBFAgAAALB1SyZ3vnaSc5I8s6punuS0JI9IcqXuPitJuvusqrriZjeuqocleViSXPOa19wvRQMAbGYdJ8FOTIQNAKzOkl29tiW5ZZL/193fnuSL2cJuXd399O4+truPPfroo/exTAAAAAC2aknwc2aSM7v7rfP5F2UKgj5VVVdJkvn/2QemRAAAAAD2xV6Dn+7+ZJKPVdUN5ovunOT9SU5O8qD5sgcledkBqRAAAACAfbJkjp8k+aUkz6mqiyT5zyQ/mSk0OqmqHprko0nuc2BKBAAAAGBfLAp+uvudSY7dZNGd9285AAAAAOwvS+b4AQAAAOAQJPgBAAAAGJTgBwAAAGBQgh8AAACAQQl+AAAAAAYl+AEAAAAYlOAHAAAAYFCCHwAAAIBBCX4AAAAABiX4AQAAABiU4AcAAABgUIIfAAAAgEEJfgAAAAAGJfgBAAAAGJTgBwAAAGBQgh8AAACAQQl+AAAAAAYl+AEAAAAYlOAHAAAAYFCCHwAAAIBBCX4AAAAABiX4AQAAABjUtlUXAAAAABttP/6UVZewqTNOOG7VJcCWGfEDAAAAMCjBDwAAAMCgBD8AAAAAgxL8AAAAAAzK5M7AlqzjRHsm2QOA1bONALCejPgBAAAAGJTgBwAAAGBQgh8AAACAQQl+AAAAAAYl+AEAAAAYlOAHAAAAYFCCHwAAAIBBCX4AAAAABrVt1QUAjGj78aesuoRdnHHCcasuAQAAOMiM+AEAAAAYlOAHAAAAYFCCHwAAAIBBCX4AAAAABiX4AQAAABiU4AcAAABgUIIfAAAAgEEJfgAAAAAGJfgBAAAAGJTgBwAAAGBQgh8AAACAQQl+AAAAAAYl+AEAAAAYlOAHAAAAYFCCHwAAAIBBCX4AAAAABiX4AQAAABiU4AcAAABgUIIfAAAAgEEJfgAAAAAGJfgBAAAAGJTgBwAAAGBQgh8AAACAQQl+AAAAAAYl+AEAAAAYlOAHAAAAYFCCHwAAAIBBCX4AAAAABiX4AQAAABiU4AcAAABgUIIfAAAAgEEJfgAAAAAGJfgBAAAAGJTgBwAAAGBQgh8AAACAQQl+AAAAAAYl+AEAAAAYlOAHAAAAYFCCHwAAAIBBCX4AAAAABiX4AQAAABiU4AcAAABgUIIfAAAAgEEJfgAAAAAGJfgBAAAAGJTgBwAAAGBQgh8AAACAQQl+AAAAAAa1OPipqiOq6h1V9ffz+ctV1auq6oPz/8seuDIBAAAA2KqtjPh5RJLTN5w/Pslruvt6SV4znwcAAABgTSwKfqrq6kmOS/KMDRffM8mJ8+kTk9xr/5YGAAAAwAWxdMTPHyZ5dJJvbrjsSt19VpLM/6+42Q2r6mFVdWpVnXrOOedcoGIBAAAAWG6vwU9V3S3J2d192r48QHc/vbuP7e5jjz766H25CwAAAAD2wbYF17l9kntU1Q8lOTLJUVX17CSfqqqrdPdZVXWVJGcfyEIBAAAA2Jq9jvjp7sd099W7e3uS+yZ5bXc/IMnJSR40X+1BSV52wKoEAAAAYMu2clSvnZ2Q5Puq6oNJvm8+DwAAAMCaWLKr17d09+uSvG4+/Zkkd97/JQEAAACwP1yQET8AAAAArDHBDwAAAMCgBD8AAAAAgxL8AAAAAAxK8AMAAAAwKMEPAAAAwKAEPwAAAACDEvwAAAAADErwAwAAADAowQ8AAADAoAQ/AAAAAIMS/AAAAAAMSvADAAAAMCjBDwAAAMCgBD8AAAAAgxL8AAAAAAxK8AMAAAAwKMEPAAAAwKAEPwAAAACDEvwAAAAADErwAwAAADAowQ8AAADAoAQ/AAAAAIMS/AAAAAAMSvADAAAAMCjBDwAAAMCgBD8AAAAAgxL8AAAAAAxK8AMAAAAwKMEPAAAAwKAEPwAAAACDEvwAAAAADErwAwAAADAowQ8AAADAoAQ/AAAAAIMS/AAAAAAMSvADAAAAMCjBDwAAAMCgBD8AAAAAgxL8AAAAAAxK8AMAAAAwKMEPAAAAwKAEPwAAAACDEvwAAAAADErwAwAAADAowQ8AAADAoAQ/AAAAAIMS/AAAAAAMSvADAAAAMCjBDwAAAMCgBD8AAAAAgxL8AAAAAAxK8AMAAAAwKMEPAAAAwKAEPwAAAACDEvwAAAAADErwAwAAADAowQ8AAADAoAQ/AAAAAIMS/AAAAAAMSvADAAAAMCjBDwAAAMCgBD8AAAAAgxL8AAAAAAxK8AMAAAAwKMEPAAAAwKAEPwAAAACDEvwAAAAADErwAwAAADAowQ8AAADAoAQ/AAAAAIMS/AAAAAAMSvADAAAAMCjBDwAAAMCgBD8AAAAAgxL8AAAAAAxK8AMAAAAwKMEPAAAAwKAEPwAAAACDEvwAAAAADErwAwAAADAowQ8AAADAoAQ/AAAAAIMS/AAAAAAMSvADAAAAMKi9Bj9VdY2q+qeqOr2q3ldVj5gvv1xVvaqqPjj/v+yBLxcAAACApZaM+Pl6kkd1942S3DbJL1TVjZMcn+Q13X29JK+ZzwMAAACwJvYa/HT3Wd399vn0uUlOT3K1JPdMcuJ8tROT3OtAFQkAAADA1m1pjp+q2p7k25O8NcmVuvusZAqHklxxN7d5WFWdWlWnnnPOOResWgAAAAAWWxz8VNUlk7w4ySO7+wtLb9fdT+/uY7v72KOPPnpfagQAAABgHywKfqrqwplCn+d090vmiz9VVVeZl18lydkHpkQAAAAA9sWSo3pVkr9Mcnp3P2XDopOTPGg+/aAkL9v/5QEAAACwr7YtuM7tkzwwyXuq6p3zZY9NckKSk6rqoUk+muQ+B6ZEAAAAAPbFXoOf7n5jktrN4jvv33IAAAAA2F+2dFQvAAAAAA4dgh8AAACAQQl+AAAAAAYl+AEAAAAYlOAHAAAAYFCCHwAAAIBBCX4AAAAABiX4AQAAABiU4AcAAABgUIIfAAAAgEEJfgAAAAAGJfgBAAAAGJTgBwAAAGBQgh8AAACAQQl+AAAAAAYl+AEAAAAYlOAHAAAAYFCCHwAAAIBBCX4AAAAABiX4AQAAABiU4AcAAABgUIIfAAAAgEEJfgAAAAAGJfgBAAAAGJTgBwAAAGBQgh8AAACAQQl+AAAAAAYl+AEAAAAYlOAHAAAAYFCCHwAAAIBBCX4AAAAABiX4AQAAABiU4AcAAABgUIIfAAAAgEEJfgAAAAAGJfgBAAAAGJTgBwAAAGBQgh8AAACAQQl+AAAAAAYl+AEAAAAYlOAHAAAAYFCCHwAAAIBBCX4AAAAABiX4AQAAABiU4AcAAABgUIIfAAAAgEEJfgAAAAAGJfgBAAAAGJTgBwAAAGBQgh8AAACAQQl+AAAAAAYl+AEAAAAYlOAHAAAAYFCCHwAAAIBBCX4AAAAABiX4AQAAABiU4AcAAABgUIIfAAAAgEEJfgAAAAAGJfgBAAAAGJTgBwAAAGBQgh8AAACAQQl+AAAAAAYl+AEAAAAYlOAHAAAAYFCCHwAAAIBBCX4AAAAABiX4AQAAABiU4AcAAABgUIIfAAAAgEEJfgAAAAAGJfgBAAAAGJTgBwAAAGBQgh8AAACAQQl+AAAAAAYl+AEAAAAYlOAHAAAAYFCCHwAAAIBBCX4AAAAABiX4AQAAABiU4AcAAABgUIIfAAAAgEEJfgAAAAAGJfgBAAAAGJTgBwAAAGBQFyj4qaofrKp/q6oPVdXx+6soAAAAAC64fQ5+quqIJH+a5K5JbpzkflV14/1VGAAAAAAXzAUZ8XObJB/q7v/s7q8meX6Se+6fsgAAAAC4oC5I8HO1JB/bcP7M+TIAAAAA1kB1977dsOo+SX6gu39qPv/AJLfp7l/a6XoPS/Kw+ewNkvzbvpd7QFwhyadXXcQhQlsto52W0U7LaatltNNy2moZ7bSMdlpOWy2jnZbTVstop2W003Lr2FbHdPfRmy3YdgHu9Mwk19hw/upJPrHzlbr76UmefgEe54CqqlO7+9hV13Eo0FbLaKdltNNy2moZ7bSctlpGOy2jnZbTVstop+W01TLaaRnttNyh1lYXZFevf01yvaq6VlVdJMl9k5y8f8oCAAAA4ILa5xE/3f31qvrFJK9IckSSv+ru9+23ygAAAAC4QC7Irl7p7pcnefl+qmVV1nY3tDWkrZbRTstop+W01TLaaTlttYx2WkY7LaetltFOy2mrZbTTMtppuUOqrfZ5cmcAAAAA1tsFmeMHAAAAgDUm+AEAAAAY1AWa4+dQVlWXSPLl7v7GqmtZV1V1xSS3T3LVJF9K8t4kp3b3N1da2JrSp+DgqqoLJbl5zvuMel93f2q1VcHhw3pv72xLLVNVxyb5rpy/nV7d3Z9daWFrSFvBah2q677DZo6f+QvCfZPcP8mtk3wlyUWTnJNpguqnd/cHV1fh+qiqOyU5PsnlkrwjydlJjkxy/STXSfKiJH/Q3V9YWZFrQJ9arqqOTHK37LqhcoqjAZ5fVV09U7/apa2S/IMvC0lVXSfJryW5S5IPZnrP7fiM+p8kf57kRG018f5bpqpul+QBmdrpKjn/e+/Z3f35FZa3Fqz3lrMttUxVPTjJw5N8OMlpOX873T7Te/AJ3f3RVdW4LrTVcj7Pl7F9sMwo677DKfh5fZJXJ3lZkvfu+EJQVZdLcqckP5Hkpd397NVVuR6q6v9L8sebrTiqalumD4gjuvvFB3KrIPEAACAASURBVL24NaJPLVNVv5Hk7klel103VO40n35Ud797RSWujap6ZpKrJfn7JKdm17a6VZLju/sNKytyDVTV85L8vyT/3DutxOZf138iyX9194mrqG+deP8tU1X/kOQTmT7PN3vv3T3JU7r75JUVuQas95azLbVMVf1Ckr/q7i/tZvktkly+u19zcCtbP9pqGZ/ny9g+WG6Udd/hFPxcuLu/dkGvAzvoU8tU1XHdfcoell8xyTW7+9SDWNZaqqqbdvd797D8Ipna6kMHsSwOYd5/y1TVFbr70xf0OqOz3gPWnc/zZWwfLDfKuu+wmdx54wtRVXeoqp+cTx9dVdfa+TokVXWlqvrLqvrH+fyNq+qhq65rXehTy+y8Upn3i924/GwrlcnG0KeqLlZVN9hp+VeFPuepqotX1ROq6i/m89erqrutuq514v23zMYvAFV1TFXdZT59saq61M7XOVxZ722dballqur6VfWaqnrvfP5mVfX4Vde1jrTVnvk8X8b2wXKjrPsOm+Bnh6p6Yqa5IR4zX3ThJGs9LGuF/jrJKzLtG5sk/57kkSurZk3pU8tU1XdW1fuTnD6fv3lV/dmKy1pLVXWPJO9MsuOLwi2q6rAekrwbz8y0n/Xt5vNnJvnt1ZWzvrz/lqmqn84098qfzxddPcnfrq6i9WS9tyV/HdtSS/xFpv70tSSZdy+570orWl/aagGf58vYPljuUF/3HXbBT5IfTnKPJF9Mku7+RJJLrbSi9XWF7j4pyTeTpLu/nuSQmr38INGnlvm/SX4gyWeSpLvfleS7V1rR+npiktsk+VySdPc7k2xfZUFr6jrd/Xs5b+P3S0lqtSWtLe+/ZX4h0ySpX0iSebLGK660ovVkvbecballLt7db9vpsq+vpJL1p62W8Xm+jO2D5Q7pdd/hGPx8dZ4MtJNdh7VxPl+sqsvnvLa6bRKz4O9Kn1qouz+200U2fjf3dUecWOSrVXWxnPfeu06mEUBswvtvka9091d3nJkn4T08JkPcGuu95WxLLfPp+TN8RzvdO8lZqy1pbWmrZXyeL2T7YLFDet23bdUFrMBJVfXnSS4zDwF8SKYhk+zqUUlOTnKdqnpTkqOT3Hu1Ja0lfWqZj1XVdybpeZLih2ceVsou3ltVP5HkiKq6Xqa2evOKa1pHv5Fpd7hrVNVzMv2y9+BVFrTGvP+WeX1VPTbJxarq+5L8fJK/W3FN68h6bznbUsv8QpKnJ7lhVX080yHL77/aktaWtlrG5/kytg+WO6TXfYfNUb02mt/8359pl4BXdPerVlzS2prT8Rtkaqt/OxQmrloFfWrvquoKSZ6a5C6Z2umVSR7R3Z9ZaWFrqKounuRxmfpUMs0P8dvd/eXVVbWe5l/Sb5upT/2LCRs35/23TFVdKMlDs+HzPMkz+nDcWNoL673lbEvtXVUd0d3fmH9Bv1B3n7vqmtaVtlrG5/kytg+25lBe9x12wU9V/XKSF3b3mauuZd1V1buSvCDJC7r7P1Zdz7rSp5apqqO7+5xV13EoqKpv7+53rLqOdTdPeP28JCd39xdXXc868/5bpqp+OMnLu9sug3tgvbecballquqjmUZwviDJa3053z1ttYzP82VsHyx3qK/7Dsc5fo5K8oqq+ueq+oWqutKqC1pj98g0WdxJVfWvVfW/q+qaqy5qDelTy7y5ql5ZVQ+tqsusupg195Sq+kBV/VZV3WTVxayxP0jyXUneX1UvrKp7V9WRqy5qTXn/LXOPJP9eVc+qquPmkRrsynpvOdtSy9wgyasz7cb04ar6k6q6w4prWlfaahmf58vYPljukF73HXYjfnaoqpsl+fEkP5rkzO6+y4pLWmvzPCNPSHL/7j5i1fWsI31q76rqNpkOOXqvJO9P8vzuPmQOg3gwVdWVk/xYpj51VKZfix2qfBNVdUSS703y00l+sLuPWnFJa8n7b5mqunCSu2Z6790hyau6+6dWW9V6st7bGttSy1TVZTPteqKd9kJb7ZnP82VsH2zNobruOxxH/OxwdpJPZjp0nUP77UZVba+qRyd5fpIbJnn0iktaZ/rUXnT327r7VzIdqvyzSU5ccUlrq7s/2d1/lORnk7wzya+vuKS1VNNRvX40UzvdOvrUbnn/LTPPv/IPmdZ7pyW552orWmvWewvYllqmqu5YVX+W5O1Jjsz04web0FbL+DxfxvbBlh2S677DbshbVf1cpoTu6CQvSvLT3f3+1Va1nqrqrUkunOSFSe7T3f+54pLWkj61TFUdleSHM/2icJ0kL820gmEnVXWjTH3q3plWKs/PdGQYNqiqFyT5jkxzHfxpktd19zdXW9V68v5bpqp+MFMb3SnJ65I8I75Q7cJ6bznbUstU1Ycz/chxUpJfNW/b7mmrZXyeL2P7YLlDfd132O3qVVUnZBq+9s5V17LuquqG3f2BVdex7vSpZeYNlb9NclJ3v2XV9ayzqvqXTJMWv7C7P7HqetbVvFH3qu7+xqprWXfef8tU1fMzBa3/YELQ3bPeW8621DJVdVR3f2HVdRwKtNUyPs+XsX2w3KG+7jtsgp8dH5JVdbnNlnf3Zw92Teuqqh7Q3c+uql/ZbHl3P+Vg17SO9Kmtqapy5An2h6r63u5+bVX9yGbLu/slB7umdef9x/5gvbecballqurR3f17VfXHSXb5jOruh6+grLWkrTgQbB/s3SjrvsNpV6/nJrlbpv07O0ltWNZJrr2KotbUJeb/l9pkmQ+G8+hTC1TVH3b3I5OcXFWbbajcYwVlraWqOqm7f6yq3pPzv9cqSXf3zVZU2rq5Y5LXJrn7Jss6ieBn5v23TFW9sbvvUFXnZvP3ngnDJ9Z7y9mWWub0+f+pK63i0KCtFvB5voztgy0ZYt132Iz4Yeuq6vbd/aa9XQZ7UlW36u7TquqOmy3v7tcf7JrWVVVdpbvPqqpjNlve3R852DWts6q6Vnd/eG+XHc68/2C1bEstU1X36e4X7u0ytBX7h+2Dw89hd1SvqnrNkstIkvzxwssOa/rUnnX3afPJW3T36zf+JbnFKmtbN9191nzy57v7Ixv/kvz8KmtbUy/e5LIXHfQq1pj339ZU1bOWXHa4s97bEttSyzxm4WVoq0V8nu+Z7YOtO9TXfYfNrl5VdWSSiye5QlVdNucN0ToqyVVXVtgaqqrbJfnOJEfvtG/6UUmOWE1V60ef2rIHJXnqTpc9eJPLSL4vya/tdNldN7nssFRVN0xykySX3mmen6MyHdaWXXn/LXOTjWeqaluSW62olrVjvbecballququSX4oydWq6o82LDoqyddXU9V60lZb5vN8GdsHezHKuu+wCX6S/EySR2Z6cU7LeS/YFzIdBpjzXCTJJTP1j437pn8h0+GlmehTC1TV/ZL8RJJrVdXJGxZdKtOhypnNh4n8+STXrqp3b1h0qSR2CzjPDTLta32ZnH+en3OT/PRKKlpT3n/LVNVjkjw2ycWqasfRcirJV5M8fWWFrR/rveVsSy3ziUxz1twjU5/a4dwkv7ySitaXtlrA5/kytg+2ZOO67+0bLj+k1n2H3Rw/VfVL3W2I7QJVdYw5RfZOn9qzeb6aayV5cpLjNyw6N8m7u9uvVLOqunSSy2aTtjpUjhhwMFXV7Rx6dM+8/7amqp7c3XaZ2AvrveVsSy1TVRfu7q+tuo5DgbZaxuf5ntk+2LpDfd132AU/SVJVN01y42zYJaC7/2Z1Fa2XHbO8V9XfZfPDRZrlfSf6FAdCVV0x5+9TH11hOWtnHnr70EzDuTe200NWVhSHvHkY9/Vy/j71htVVtJ6s9/bMttTWVNX1Mn0B3blPHRJHyzmYtNWeVdUNu/sDVXXLzZZ399s3uxx2p6q+t7tfu9P0At/S3YfE0WQPp129kiRV9cQk35Ppw/LlmebNeGMSGyvn2THx2e+vtIpDhD61TFXdNtOEljfKNAT+iCRfdFjNXVXV3ZM8JdOQ0rOTHJPpMK432dPtDkPPSvKBJD+Q5DeT3D/nHe6WOKztVlXVTyV5RJKrJ3lnktsmeUuS711lXevGem8R21Jb88wkT0zyf5PcKclP5vyHTOY82mrPfiXJw5L8wSbLOj7Pz8f2+SJ3TPLanH96gR06ySER/Bx2I36q6j1Jbp7kHd1986q6UpJndPdmLySz+RfQa3T3u/d65cOMPrVMVZ2a5L5JXpjk2CT/K8l1u/txKy1sDVXVuzJtmLy6u7+9qu6U5H7d/bAVl7ZWquodc/u8u7tvVlUXTvKK7rZRxz6ZP89vneRfuvsW80TiT+ruH19xaWvFem/f2Jbavao6rbtvVVXv6e5vmy/75+7+rlXXtm60FfuT7fPDx2F3OPckX+rubyb5elUdlenXdEMjN1FVr6uqo6rqckneleSZVfWUVde1hvSphbr7Q0mO6O5vdPczM/1Sxa6+1t2fSXKhqrpQd/9THFpzMzvmOPjcvNvJpZNsX10566uqrlNVF51Pf09VPbyqLrPqutbQl7v7y0lSVRft7g9kmkyc87PeW8i21GJfrqoLJflgVf1iVf1wkiuuuqg1pa0WqKr7VNWl5tOPr6qXVNW3r7qudWT7fJmqesT8eV5V9YyqentVff+q61rqcAx+Tp03dv8i04z4b0/yttWWtLYu3d1fSPIjSZ7Z3bdKcpcV17SO9Kll/qeqLpLknVX1e1X1y0kuseqi1tTnquqSSd6Q5DlV9dQ4VOtmnj7/gv6EJCcneX+S31ttSWvrxUm+UVXXTfKXmSZ0fO5qS1pLZ86f53+b5FVV9bJMR9Lh/Kz3lrMttcwjMx0u+eGZDrn9wEyHmWZX2mqZJ3T3uVV1h0y7hJ+Y5Gkrrmkd2T5f7iHz5/n3ZwpbfzLJCastabnDblevjapqe5KjDLnd3DyU+/szfVA+rrv/dccuFSsubW3pU7s3Hz3g7CQXznTY0Usn+bP5VwY2qKpLJPlypn3275+prZ4zjwKCLauqt3f3LavqVzONavnjHbvKrbq2dVVVd8z03vvH7v7qqutZV9Z7e2ZbClZjw+7gT07ynu5+rvXermyfL7dhaoGnJnldd7/0UOpTh+PkzrvM8F5V10nyEYet28VvJnlFkjfNGyrXTvLBFde0dvSpZTYczvZLSZ60ylrWXXd/ccPZE1dWyJqrql/Z5OLPJzmtu995sOtZc1+rqvtl+lV4xzwsF15hPWtp3h1nh/fM/w/fX8h2w3pvS2xLLbCbo599PsmpSf58xy6YaKst+HhV/XmmEXb/Z97d+XDc22WPbJ9vyWlV9cpMo6YfM+9K+M0V17TYYTfip6r+Jcktk7w706/pN51PXz7Jz3b3K1dYHocgfWqZ+VfP3W2o/Pb/396dx0lW1ecf/zzsArIJEkRA0CAissiiLLJFiSggKoqIgmj4qRBRo2iMSVAiCho0BhADyqqoKKBAVBCCLLLJvimigCYuAWURkSjL8/vj3Jqu6enl9jBT51bX83695tVdt7qnv3OnuurUuef7nKxmGTPBDkwwdq7eZ/vOwVfVPZJOowQRntMceiXwQ2A94Ou20/bVkLQ+8A7gCttfkbQ2sKftoVmiPAiS7gbWAO6nPJ+vAPyacjV0f9vX1quuO/K6FwtacwV9FeArzaE9gd8AT6GsKHtzrdq6JueqHUlLAy+nrPa5Q9JqwAvy/DS3jM/ba7K1NgbutP2ApKcBqw/LitdRnPj5KvAvtm9tbq8PHAz8C3Cm7QSoNiQ9k7K939aUJ4TLgHfb/p+qhXVMHlPtSPok8DhjuSJvoLxheBDYJrvBjJH0UUquyGmUc/QG4C+A24F32t6+XnXdIek84LW2/9DcXhb4BvBqyqqf9WvW1zVND/+6zc3bbT861dePIkmfB86yfV5zeyfKG4fTgc/aflHN+roir3vtZSzVjqRLbG870TFJt9p+fq3auibnqj1JGwG93c4utX1jzXq6KOPzmZG0G9D7/bvY9jlTfX2XjOJyt/V6AxUA27cBm+QK+oROpASmPgNYnXJV/cSqFXVTHlPtbG37Q7Zvbv58GNjO9hFkJ6bxXm77P2w/ZPv3to8DXmH7a8CKtYvrkDWB/uyVR4G1bD8C/KlOSd0kaXtKe8kxwOeAn0jadspvGk2b9SZ9AJorw9vavhJYsl5ZnZPXvfYylmpnFUlr9m40n6/c3EzG1txyrlqQ9G7gy5QQ3qcDX5L0rrpVdVLG5y1JOhx4N2UzkduAg5oMqaEwchk/wO2SjgW+2tzekzIAXpKxrYGjWKXZ0q/nJEnvqVZNd+Ux1c6ykl5k+yoASVsAyzb3JRNibk9Iej1l9QrAHn33jdYyzamdBlzZ7LwEJbvmK0049m31yuqkI4GdbN8OIGldSpvAplWr6p77JH2QuZ/P75e0KEPUxz8Aed1rL2Opdt4HXCbpZ5TVBmsDBzTP58m6m1vOVTtvA17Uy02UdARwBWUFXozJ+Ly9VwAb234CQNLJwPXAh6pW1dIotno9BTgA2IbyZHkZ5ern/wFL91oGAiRdAJzEWA/xXsB+tv+qWlEdlMdUO5I2B05g7MXkIeBvgFuBV9o+vVZtXdOEf34W2JIy0XMlZaeFXwKb2r6sYnmdImlT+n73bF9TuaROmmgXoewsNC9JKwOHUB5TUJ7PD6UseV8zu5wUed1rL2Op9pqJw/Uoj6kfJ6R4cjlX02uyazbvnRtJSwE/tP2CupV1S8bn7Um6Cdje9n3N7ZUou3sNxVhq5CZ+YM6AZc3elc+YWLN09GjKm0+AH1D60n8++XeNpjym2pO0POW554HatcTwk7QN8Je2T5S0CrCs7btq19U1kk6gTCKe2hzaG1jM9n71quouSctm8mJqed1rJ2Opdpog3r+jtOvuL+kvgefaPrdyaZ2Tc9VOs/PnvsBZlAmyVwEn2f63qoV1VMbn02t2Rz0cuIjymNoW+JDtr075jR0xchM/TSDTp4AlbK8taWPgUNu7VS4thlQeU+1IWhX4OPAM2zs3YaBb2v5i5dI6p2nDORZY1fYGkjYEdrP9scqldYqkQyi7ej3X9rqSnkHZzWvryqV1TnN1+EDGVmhcAnzOdrKQ+kjaCvgCZQJxzSYY9O22D6hcWqfkdS8WNElfA64F9mle955C2YUwQeHj5Fy1J+mFjK3gvNT29TXr6aKMz2em2R1u8+bm1bZ/U7OemRjFcOdDgC2ABwBs30CCqyYkaR1J50i6V9I9kr7VtKDE3PKYauck4DxKwCXAT4DkHEzseEq/8KMALttEvqFqRd30amA34GEA278Cnlq1oo5qJniOBj4K/DNwTCZ9JvQZ4K+B3wE0O8AkBHteed1rKWOp1p5t+5OMve49QpmkjnnlXM2MKCtec44mdhIZn8/ElsD2wHaMreQcCqM48fOY7QdrFzEkTqNsYbsa5cng64z1qMeYPKbaWbnpE34CwPZjlO0jY15L27563LEE7M3rzy7LVg3QBFvGBCS9EvgZJTvqaOCnknauW1U32f7vcYfyPDWvvO61l7FUO39uVq70ns+fTXZnnEzOVQuS/pkSdr0iZdezEyX9Y92qOinj85YkfQ54B3AzcAvwdknH1K2qvVHc1esWSW8EFm16Yg8CLq9cU1fJ9ql9t78k6W+rVdNdeUy187CkpzE2UHkxJTA15vXbZiDXO1d7AL+uW1InnS7pP4AVJO0PvJWyWirmdSSwQy+cuHl8/SfwnapVdc9/N+1elrQE5fn8R5Vr6qK87rWXsVQ7hwDfBdaQ9GVga+AtVSvqrpyrdvYCNukLdz4cuA5I2/zcMj5vbztgg+aiY29Xr5vrltTeKGb8LA18GNiJsuTvPOBfkoY/r+YJ8gHKdq2mbNe6JHAMQC/RfNTlMdVO02d9FLABZZZ8FWCPpo0p+jRtAMcBWwH3A3cBb7J9d826ukjSy+j73bP9vcoldZKkS2xv23dbwMX9x2LOrl6fBV5KeUydTwni/V3Vwjomr3vtZSzVXvPm88WUx9SVtn9buaTOyrmanqTvAHv1woolrQB8yfYudSvrlozP25N0JvDeXji/pLWAw23vVbeydkZu4ifakzTVzji2nR71mBFJiwHPpQxUbrf9aOWSOq1pXVrE9kO1a4nhJulYYC1Ky4mB1wG3U3YYwvaZ9aqLmL0ylmpP0uqU56k5HQm2L6lXUXflXE1P0jcpIbzfo7zuvQy4DLgHwPZB9arrlozP25F0MeUx1Ytj2By4AvgjQNc3OBi5iZ9mt5z3U0II+58sd6xVUwy3PKbaa1oonsXc5+mUagV1VLMD02uZ91wdWqumLpL0GuAI4OmUwYoob6SWq1pYB0k6cYq7bfutAyumwyStAuzPvL97OT998roXC5qkIyiroW6lyRqhPDd1+o1UDTlX7Ujad6r7bZ88qFq6LuPzdiRtN9X9ti8eVC3zYxQnfm4EPk/ZBnFOcJXta6sVFUMtj6l2JJ0KPBu4gbHz5FxxmZek71L6q8c/po6sVlQHSfopsKvtZLDEAiHpcuBS5v3dO6NaUR2U171Y0CTdDmyY3Qanl3MVC1LG56NjFMOdH7N9bO0iYlbJY6qdzYD1PWqzzfPnmbZfXruIIfC/mfSJBWxp2x+sXcQQyOteLGh3AouT3anayLmKBSnj8xExihM/50g6ADiLvifMhOvFk5DHVDu3AH9Bdqdq43JJL7A9NDsFVHKNpK8B32Tu373k1cT8OlfSK2x/u3YhHZfXvVjQ/gjcIOlC5n5MZdXBvHKuYkHK+HxEjGKr10QhewnXa0HSasB9WVo6tzym2pF0EbAxJRCtf6CSnvRxJN0GPIeym9efGMuu2bBqYR0zSW5N8mpivkl6CFiG8nv3KMmNmlBe9+ZfxlITmyyPJTks88q5igUp4/PRMXITPzH/JF1A6QE9w/b7a9cTw2WyQLSuB6HV0GwPOY/e9pERT5akVwG/sX1V7VoiRknGUhF1SPo4JT/xC7Z/V7uersj4fP5JOpmyAu8Y27fUrmc6mfiJGZEkSh/orbVriYiI+dMMgF8ALGZ759r1RIySjKUiBk/S7pRJ141s71O7nhh+kjYH1gS2GIZ8wEz8RCuSlgF2B95o+5W164mIiCdH0lK2/692HRGzkaRvAwfYvrt2LRFRSNrc9g9r1xHDRdJSwFNt3zvu+NOB3w/LWGqR2gVEd0laQtLukk6nBH69lLJ9a0REDBFJJ4y7vQzwn5XKiRgFJwHnS/qwpMVrFxMxqiStL+lQSXcA2Y0w5se/Ay+Z4PjLgM8MuJb5NvIrfhKyNy9JLwP2Av4auAj4GnCU7WfVrGtY5DEVUUdyayYn6V+AlW2/U9KKlEmf421PFJAdMSN53ZtYM8H6z8DLgVOBJ3r32f50rbqGQfJY2su5mleTlbhX8+cxYC1gs6zAi/kh6Tbb609y3622nz/omuZHVvyUF+IfS/rX2oV0yHmUHthtbL/J9jn0DVZiWnlMtSDpZEnHStqgdi1dJ+kCSd+RtEvtWjruRcA/SvpO7UK6xvY/Ab+X9HngfODITPpMT9KPmj9/W7uWjsvr3sQeBR4GlgSeOu5PTO1qyhv2obmaXlHOVR9JlwPfBhYH9rC9KfBQJn3ayfh8QprivqGZT1msdgG12X5pL2Svdi0dsinwBuACSXcCXwUWrVvS8MhjqrWjKYFobwY6H4hW2T7AasCLaxfSZbb/Ibk1c5P0mr6bVwP/1Hy0pNfYPrNOZcPB9vMkPY387k0pr3vzkvRy4NPA2cALbf+xcklDxfY3mzyWI2vX0nU5V/O4F3gmsCqwCnAHMNotLjOT8fm87pG0he2r+w824c73TvI9nTPSrV4JLJ6epK0pyyRfC9wAnGX7uLpVdY+kjRjr/bzE9k016xkGTVDarra/XruWrpC0CrCK7dvGHX8+cM/4ULlRJ+kE22/tu70McLbtv6pYVqdImmpVj/vPX0CzsufLtu+vXUsXJbC4PUmXAu/Izl0zI2l9ysXHvYAHbW9WuaTOyrmanKTlKe9d9gKeA6wA/PX4N+6jbLYEFg+CpC2A0ynZbdc2hzejXJh9w7BEDIzcxI+kJYBXAG+k9FyfAZzZtDPFJCQtQgmweoPt/WrX0yWS3g3sD/SunL8aOM72UfWq6iZJiwI7MZYhdantPepW1R2Svgoca/viccf/GtjX9hvrVNZNya1pp/m9O8h22gCmIeljlDdS1wEnAOd51AZKU5D0euBjwMnAJ20/WrmkmAWSx9JeztXMSVoV2JPy3L6G7TUql9QJko4Dvjt+5a+kvSlxH++sU1k3NY+jA4BeC9ytwNG276lX1cyMzMRPAovbk/TCqe63fd2gahkGkm4CtrT9cHN7GeAK2xvWraw7JG1LmWx9JaXNZGtgnSx9n9tUAXGSbrGdfutxJB0BLE9pUT3c9hmVS+okSRfZ3qF2HcOgaVnaCdiPckXvdOCLtn9WtbCOSGBxO5IeYqy9pJcPYUrMwhK2Rz5uAebksSxPiRX4qu07JN1le+3KpXVOztWTJ2kt2z+vXUcXzJbA4kFrVuczjKvwR+lF5zzgUsoM5l0Akj5bt6TOuoYyi9l7QPcHWhnYceAVdZuAx/tuP87UIWAjRdL/AL+gbKF5sO2HmoFKJn3mNdWWv9kOuJHcmvlyuaSjKRc9Hu4dzET+vGxb0m+A31CuqK8IfEPS92x/oG51nTA+sDibP0zA9lwBzpKeSrla/HbgrCpFdVPyWNrLuWpB0v7A95uJMVFWb74G+Dmwb/MxZklg8SA0j6NDgAMp50aSHqcsIjm0anEzMEoTPwksbu99lL7YRyjn6Szbf6hbUqedCFwlqTeQ2x34YsV6uuYMyjnZE3hc0rfIQGUyd0h6he1v9x+UtDNwZ6WaumjXcbevp0yM7Up5bGXiZ15bNR/7ByiZyB9H0kGUNwa/Bb5Amax+tGl3vgMY6YmfBBbPnKQVgPdQsiBOAzbPlttjbL+qL4/lo5KeA6wwUZDqabG1pwAAIABJREFUqMu5au3dlCwWKN0eGwLrAJsA/85YJueomxWBxQPyHkq3whZ9C0jWAY6V9N5haaUfmVavfgksbkfS2pTz9CrK7PjHbd9Qt6puatrjtqHMnl9i+/rKJXVKM1O+A+Xx9ApgOeBtwLczqThG0rrAucDlzB0etyWwi+2f1Kqta5JbEwuDpEMpbV3zXBGW9DzbP6pQVmcksLg9SStTLqTtSVlxcJTtB+tW1X1NsOyelPFC8limkOyaiUm6wfbGzeenAVfZ/mxz+3rbm1QtsCNmS2DxIEi6HniZ7d+OO74KcP6wPKZGcuKnJ4HF02t2E3oDZUu/D9g+vXJJnSNppQkOP5TQy4lJWpySDbEXsJPtlSuX1BlNaONvKHlI/eFxp2V3hXklt6a95irxIcC2zaGLgUPzRnRukk61/ebpjkVMR9LDlKvmJwIPjb8/eUjFFDsLrQqsNOqTrW0lu2aMpOsomZL3Uy5c79ibrJb0I9vPq1lfl8yGwOJBmCpnc5gyOEem1WuKwOJ7gey+1KdZuvYGykqf/6a0ex2WN56Tug5Yg/ICI8qWkb+WdA+wv+1rp/rm2U7jtihvJsTOkXQX8PdVi+ueCyntJf9q+7HaxQyB5Na0dwJwC/D65vabKW9IXzPpd4ymucIsm5Vlm1aqpXMSWDwjn2LsXD11qi8ccf8OfJd5W3RfSllJnZ2FGsmuae2fKXmliwJn9036bEfa5udi+3+BQ4Y5sHhA/jyf93XKyKz4kfQEUwQW207OQaM5VzcB3wJ+z7g8llylmpukz1PaBc9rbu9EWdFyOvBZ2y+qWV9t2aK8vSb881BK7sq7bF9SuaROk3TRBIfzfD6B/qXvUx0bVZI+BPwD8BSgl1sjyoDuONsfqlVbl40PLLb9vsolxZDJzkLtSboF2KTJHXsjpZVwJ0p2zSG2k13TkLQYZSXZ/X3HlqG8903EABMHFlM2qBmqwOJBaIKcH57oLmAp20OxAcsoXZlJYHF7hzI22bNszUKGxGa239G7Yft8SR+3/XeSlqxZWEe8YPykD4Dt8yQdWaOgrrL9EPBeSZsCFzY7oj1BeWGx7Q2rFtgxafOakUckbWP7MpiTdfdI5Zo6w/YngE9I+kQmeaaXwOJYgLKzUHuP9cUI7AKc0vzeXSDpUxXr6pT+nT/L3AamBPbf0IyzopgVgcWDYHtWbAg1MhM/zYP3M32BxRdKSmDxBGx/pHYNQ+Y+SR+kTChCCdq7v2kRyDa32aJ8RiTtCHyW0vJ1DHkMTSq5NdOT9AHgSOAdwCnNORNwH/CWiqV1iqT1bP8Y+PpEreFpHywmCCzeJL9v8SRlZ6H2npC0GiVa4K+Aw/ruW6pOSZ00fudPgJWADSW9zfZ/DbqgjtqHcYHFtu+U9CbgfCATP7PMyEz89Ni+q9lO+imUjIN1KTt7RcyvN1LefH6T8obqsubYoozlaYyybFHeUtMWtzrwRts3165nCCS3ZnprUXbrOND2RpKWA7D9+7pldc77gP0pk2TjZdv7MT9nLLD4j8DbmivqQFrBY74cDJwu6SQm2FmoVlEdleyaFibbsKfZQON0YKQjGPosPn6XKig5P81GLDHLjFLGz0SBxecmsDhi4coW5e1J2t/28bXrGBbJrWmnWcFyFPBj4Fj6VpFlJUvMhKSPMC73r5/tjw6umuEk6VXAb7JV8phmC/cDyc5C00p2zZMj6Trbk234M1KmOhc5T7PTKE38JLA4FoomCf8DlN1g5iy1TcDsmCbrKFuUT0PSPlPdb/uUQdUyDCRdARw8LrfmX21vWbey7pG0PXAGcDNjr38Jwm40S9tl+9Rxx/cHHrZ9Wp3KYraR9HHgBcBitneuXU8Mj/7smkaya2ZA0nOBkzJGKGZLYHG0N0oTPx8hV6melFylmpik8ynbSb+fkqOxL3Cv7Q9WLSyGjqSjJjpM6VdfPVslF325NRsApwBz5dbYvrFieZ3SXEk/ElgHOCDnZmKSrge2Hf/mqWmNu8h2tnSPBUbSUrnwETMl6cQJDq8EbAgku6Yh6Rzmfc+3ErAa8CbbVwy+qpiNJF0APAocY/vc2vVMZ2QmfuLJy1WqiUm61vamkm7q7bok6WLb29WuLYZXs83m3sAHgduAw2zfVLeqbpB0DGUnigNt/yC5NZOTdCdwOHC884I/qf7n75ncFzEdSSfYfmvf7WUo+Sx/VbGsmEV62TW2k13DnMyjfgZ+B9xh+88VSopZStIzKBOKL7Z9TO16ppOrx9Ga7X+oXUNH9bbW/LWkVwK/Ap5ZsZ4YYk3//lsoYbNXAXvYvr1qUR1j+8Bebo2kObk1vZDZ5NbM5UW2szPO9BaXtIztuZa9S3oqsESlmmJ2+KWkY22/U9KKwH8CyXKLBcb2zxPGO5dLprvQIUm5GBJPlu1fUd73XTvd13ZBVvzElCRtBTyLvknC5IzMTdIuwKXAGpQA1eWAj9o+u2phMXQkHQi8G7gQONz2zyuX1GnJrYkFRdL7Kdsjv9P23c2xZwHHAN+3/alqxQ2BtIJPTdIRlJbUTSnP7WdULqnzmlXmDwJfsP272vV0WbJr5ibp+5Sxwbds/6Lv+BLANpRIhotsn1SlwBhaTZbkRyg7pi5GiRmw7XVq1tVWJn5iUpJOBZ5N2e7+8eawbR9Ur6qYLSSdTNkO+Bjbt9SupwuaEPp7KNsl9z85915Y0m5Ccmti4ZD0DuBDwLKU37+HKW/Sj61a2BBIK/i8xgXxCvgn4GrguwC2z6xR17CQtDtlDLqR7Sk3PhgVya5pR9JSwFsp7fJrAw9QNl9ZFDifMu68oV6FMayaVebvpazw6b03Zlgmp0d+4idXqSYn6UfA+lkKObVmAuPdth9obq8IHNnf0x/zkrQ5sCawRYKwi6ZPf1JZAVQkt2bmJK1j+87adQwDSctSxkfZJWcGElg8t0mCeHucMULMVLJrZq5pgVsZeKQ3To+pDVtg8SBJumqYs7Qy8ZOrVJOS9HXgINu/rl1Ll0m63vYm0x2LMZIWAZZNGO/c2vScpy8dJK2S3JqZkXQJsDrwQ+AS4FLbN9etKoZVAovbkbQoZRz1mdq1dJ2kZ1La5bcBngAuo1xU+5+qhXVIxggxCMMWWDxIkg6nrBw7E/hT7/iwZEuO/MRPTE7SRcDGlKXJ/Q/u3aoV1UGSbgS2t31/c3sl4GLbL6hbWbdIOo2y3f3jlCWSywOfTnbGmPSlx8LUPI42B7YH3k6ZfF2palExlCT9C7Dy+MBi21OtchlJki6yvUPtOrpO0veA04BTm0NvAva2/bJ6VXVLxggRdTXvjccbmmzJkZz4SWBxOxMsKQXA9sWDrqXLJO1DyYX4RnPodZStt0+d/LtGj6QbbG8saW9KwOUHgWuTWzMmfemxsEjaBnhJ82cFSnbbpba/UrWwISBpSdt/mv4rR0sCi9uRdBjlPH2NkhsFDM8V4kHpjRGmOzbKMkaIhWHYA4ujvZGb+Elg8cxIWpVyhRjgatv31KynqyStD+xIebK80PZtlUvqHEm3UlaQnQYcbftiSTfa3qhyaZ2UvvTpJbemPUmPA9cAnwC+nTyIiU3QwrQs5ep6WphIYPH8GPYrxIPS5IqcBPQmo/cC9svv3sQyRogFZdgDiwdJ0vLAIcC2zaGLgUNtP1ivqvZGceIngcUtSXo98Cng+5QB3kuAg21/Y6rvGxWSlrP9+6a1ax627xt0TV0m6SDKKp8bgVdSgp2/ZPslVQuLoZXcmvYkrQBsTRmsbE7J0LjC9j9VLaxj0sI0tQQWx8IiaU3gaGBLSmjx5ZSMn2xqELEQDXtg8SBJOgO4BTi5OfRmys6Dr5n8u7pjFCd+EljcUpNd87LeKh9JqwAXZIVGIelc27tIuouJt97OEslpSFrM9mO164jhldya9iQ9D9iOMom/FfAL2xO29I6ytDBNLYHFMzPsV4gjYnYb9sDiQRr2ltTFpv+SWWdl4DZJCSye3iLjWrt+ByxSq5iusb1L83Ht2rUMg6Zt8OPAM2zv3LTHbQl8sW5lMawmyK05F7i0alEdJelnwO2UnXI+T2mhSLtXY1wL09WMtTBZ0mvSwjTG9uOSdgMy8dPOCZQrxK9vbr8ZOBEYiivEgyLpZMoKnwea2ysCR2YVWcRC11vts1nfMVMiLGJuj0jaxvZlMCcf6ZHKNbU2iit+EljckqRPARsy1m+9J3Cz7Q/Uq6qbJK3OWCgaALYvqVdR90j6DmWw+2HbG0laDLg+u5/F/EpuTXuSFrH9RO06uiotTDOTwOL2hv0K8aBIut72JtMdi4ioRdJGwCmU1z+A+4F9bd9Ur6r2Rm7FTxMom8DiFmwf3FwF3YbSvnSc7bMql9U5TVvAnsBt9AWGUzJHYszKtk+X9CEA2481b9wj5tfTGMutOUhScmsm9xxJxwKr2t5A0obAbrY/VruwLrC9X1qYZmSr5uOhfcdyhXhiQ32FeIAWkbSi7fsBmvzEkXufEjFoaUedkd83F6+XA2iyXoem82PknlAnCCw+SlICiycg6QjbH6T0fI4/FmN2B56b7X6n9bCkp9HkIUl6MZAXlZhvth+QdCewBvBMypvRxetW1VnHAwcD/wFg+yZJpwGZ+Gmkhak92zvUrqHrJH0AOBJ4B3BK8+ZKwH3AWyqW1lVHApdL6o3HXwccVrGeiFGRdtT2zgBeaPv3fce+QckE7LyRm/gBPgxsPj6wmPKfFnN7GWUXpn47T3Bs1N1JebOZiZ+p/R1wNvBsST8AVgH2qFtSDLPk1szI0ravltR/LMHq87pc0tGkhWlKuULcylqU7ZEPHH+FuG5Z3WT7FEnXUFaNCXiN7dsqlxUxCp5t+7V9tz8q6YZq1XSQpPWA5wPLj8sEXA5Yqk5VMzeKEz8JLJ6GpHcCBwDrSOrvWXwq8IM6VXWPpKMoq1f+CNwg6ULmDgw/qFZtXWT7uiZj67mUQd3tth+tXFYMt79Mbk1rv5X0bMZW3O0BZHfLeaWFqZ1cIZ6G7QMlvZCysvzHwLHAE73J10wmzq15fvqZ7dskbQ+8VNKvemHPEbHQpB11es8FdqFsJLJr3/GHgP2rVDQfRjHcOYHF02iu5K1ICUz9+767HrJ9X52qukfSvlPdb/vkQdXSZeNmxueR3XJifklal/JmKrk105C0DnAcZWLjfuAu4E22765ZVwynBBa310xinAHcTDPxSgkMz2Rin2aFwWbAs4DvAudQ2uhfUbOuiNlu2AOLB0nSlravqF3H/Bq5iR+Y80a0F1h8SQKLJ9Zcffkf239qBi4bAqfk6kvRtAmuMn4psqQNgP+1fW+dyrolu+XEwiLpYprcmt7OL5Jusb1B3cq6S9IylJWvD9WupYvSwtSOpCuAg8ddIf5X21vWraw7JD2dkluzDnCA7Rsrl9Rpkq6z/cImG+kR20dlV6+IhU/S2rbvGh9YbPuu2rV1TV+3R78HgWtsf6tCSTMycq1eCSyekTOAzSQ9B/giJZ/lNCBXX4qjKKsNxlsd+AfgjYMtp5ts71e7hpi1klszDUn7THIcKLkaAy2o+9LCNIUEFs/IlcDhwD4exausM/eopL2AfRhrpUhYf8TCN9SBxQO2JLAe8PXm9muBW4G3SdrB9nuqVdbCyE38kMDimXii2XL7NcC/9a6+1C6qQ15g++LxB22fJ+nIGgV1maRVgY8Dz7C9s6T1gS1tf7FyaTG8klszvc0nOCbKG6vVKcu7Y0xCLqeWwOL2XpSVvzOyH2VC8bBm9cHawJcq1xQxa82WwOIBew6wo+3HACQdC5xPmV+4uWZhbYzMxE8Ci+dLrr5MbapzkfM0r5MoV84/3Nz+CWXnnEz8xPw6kJJbs56kX9Lk1tQtqVtsv6v3ucoyn70pFzquJFslTyQhl1NIYHF7mfSZmaZt/qC+23dRVkxFxMIxKwKLB2x1YBlKexfN58+w/bikzu/uPDITP5QWpe+QwOKZyNWXqd0h6RW2v91/UNLOlC3eY24r2z5d0ocAmtVkj9cuKoaX7TspO78kt2YKkhajtOG8D7gK2MP27VWL6pi0MLXX7ND4YUp7wJwVd2T3s5gPkk63/XpJ/eHXUH7/bHvDSqVFzGpNJs23hj2weMA+SdnJ+fuU56htgY8349ALahbWxsiFOyeweGYkLQGs29zM9tt9mh2FzgUupyx9h7IjxZbALrZ/Uqu2LmqeJF8LfK8JcHwxcITt7epWFsNmstyanuTWjJF0IPBu4ELgcNs/r1xSJ0k6Btia0sL0g7QwTSyBxTMnaZ1mkjomIGk127+WtNZE9+c5K2LhGvbA4kGTtBqwBWXi52rbv6pcUmujOPHTv13keZTA4mwXOYFmYuxk4G7Kg3sNyvZ+l1Qsq1MkLUkJce7tInQrcJrt/6tXVTf12gMo5+oWYBXKyoNsFxkz0gxS5jlMk1tje5RWs05J0hPAPcC95Gr6lPqeo+a0MPXuSwtTIelOSvvN8QksbkfSJZT2gB8ClwCX2u58FsSgNavKf90bP0l6CrCq7burFhYxy0k6jokDi9cA7ux6YPGgSVqdknc3Z6w5LO+NR3HiJ9tFtiTpWuCNvZaAZoXLV2wn5Z2SlzHdwLfN14ySpuXkuZQ3nVlBFk/auNya2yitqZlMbEx2Fb0nV9Pn1lzwOIMS0jinhcl2WpgASasku2bmmtXTmwPbA28HlrW9UtWiOkbSNcBWtv/c3F4C+IHtiQLqI2IBkfRfwE59gcWL0RdYbHv9mvV1iaQjgD0pE2O9i0O2vVu9qtobxauiCSxub/H+HAjbP5GUczXmIklnAN+y/YvewWawsg2wL3ARJdR45I3bMQBgXUkPUl5U7qlRUwyv5Na09otMUE9vXAvTjmlhmlgmfWZO0jbAS5o/K1BaxC+tWlQ3Ldab9AGw/edmPBURC9dQBxYP2O6UTqGhPC+jOPGTwOL2rpH0ReDU5vbejGXZBLwceCvwleZx9ADwFGARykz5Z2xnG+Axb6PkH13U3N6esrPQupIOtX3qZN8Y0W9cbs3Ls2plSpmgbudKSgvTPqM+CRYL3MXANZTNRb7dP7kRc7lX0m62zwaQ9Crgt5VrihgFQx1YPGB3UhaMDOXEz8i1ekECi9tq8msOpLw5EKU3/XPDOsu5MDUroVamtA8mKHwCks4B/sb2/za3V6XkaPwNcIntDab6/oie5Na0J2kpygT13kBvgnopYFHKBPUxmaBOC9NMJbC4PUkrUILDt6W0ez0BXGH7n6oW1jHN5itfBp5BeS7/b8pE7E+rFhYxAoY5sHiQmgtpG1EuPM55P2z7oGpFzcDITfwksDiiDkk3235B321R2rw2SM5WzERya+ZPJqhjQUlg8cxIeh6wHaXdaytKC2Z2tJyApGUp708eql1LxKgY5sDiQZK070THbZ886FrmxyhO/CSweBqS/hL4MHAf8GngeMpg5WeUFRs/rFheDClJnwPWZO5dA/4HOBg41/YOtWqL4ZJg9Yj6EljcjqSfAbcDl1Gyfa5Ku9e8mlXmr6Xsutv/5vPQWjVFjIJhDyyO9kYx4yeBxdM7ETgFWI4Smvoe4NWUyZ+jgRfVKy2G2IGUQd3WlNV2pwBnNG/OM+kTM5Hcmlgo0sLUTgKLZ+QvbT8x/ZeNvG9RwmWvZUjzMyKG1FAHFg+CpNNtv15S/46fcwxLxMAorvg5gfIf1h9YvJjt/epV1S2SbrC9cfP5T20/Z6L7IiJqSG5NLCxpYWpH0uMksLiVZmX5scCqTWvzhsButj9WubROkXRLsv4iBk/Sd4DX2f5D7Vq6StJqtn89WdTAsEQMjOLETwKLpyHpOtsvHP/5RLcj2mq2cz8CeDrld68XxLtc1cJiqCW3Jha0tDBNL4HF7Um6mNLS/B+9LLtMcsxL0nHAUZlojRisYQ8sjvZGrtWrmeD5dPMnJraepJsob8yf3XxOc3udemXFkPsksKvtH9UuJGaPZlfGX9euI2aHtDC1Y/sBSXdSNsh4JiWwOG3zE1va9tVlP4M5HqtVTIdtA7xF0l2UN5/ZpTFiMM5u/sQ0hv0i9shM/CSweEaeV7uAmJX+N5M+EdFxF5MWpmmNCyz+PLBfztWkfttsVW4ASXuQyeqJ7Fy7gIhRNCw7UnXEUF/EHplWL0mXMRZY/F5KYPE5lMmfj9lOYHEjO+bEwiDps8BfAN9k7qWkZ1YrKiKiT1qY2pG0SAKL25G0DnAcZVXU/cBdwJts312zrq6S9HRKZhsA/QH+EbHgzJbA4kGS9APbW9euY36N0sRPAotbkvR9YNodc2yfVKXAGEqSTpzgsG2/deDFRERMQtLzgO0oF4a2An5he7u6VXVLAotnTtIywCK2H6pdSxdJ2g04EngGcA+wFvAj28+vWljELDVbAosHoWnxgjI2GNqL2KM08ZPA4payY04MiqTN02YZEV0xroXpUuCqtDDNK4HF05O0z1T32z5lULUMA0k3AjsCF9jeRNIOwF62/1/l0iJixE1y8bpnaC5ij9LEzx+Bn9IEFjef09xex/YytWrrsuyYEwuapPWBNwB7AQ/a3qxySRERQFqY2pL0Q9ubS7q+b+Inq6f7SDpqosPArsDqtkcmZ7MNSdfY3qyZANrE9hOSrra9Re3aImazYQ8sjvZG6UUngcXzITvmxILQLCPdq/nzGGUJ92bJOIiIjnmOpLQwTS+BxdOw/a7e5ypbeu0NfBC4EjisVl0d9oCkZYFLgC9LuofsfhYxCEMdWDxIkj4JfAx4BPgusBHwHttfqlpYS6O04ieBxREVSLocWB74KvBV23dIusv22pVLi4iYS1qY2klgcTuSFgPeArwPuAr4hO3bqxbVUU0G0iPAIpRJsuWBL9v+XdXCIma5YQ8sHqTeylZJrwZ2p2wYdZHtjSqX1soorfi5SNK0gcXASXXKi5i17gWeCawKrALcwQS7B0REdMDStq8uCzTmyKqDcWzfCbw0gcWTk3Qg8G7gQuDlCUqdnKRFKePzl1J20sv20hELWV9g8TWSvsaQBhYP2OLNx1cAX7F937jxQqeN0sTPyymBxV+RNFFg8WcSWByx4Nl+laTlgdcCH5X0HGAFSVvYvrpyeRER/dLCNIXJAot7A98EFs/lKMruVNsA5/S9OejlZ2Sr5IbtxyX9UdLyth+sXU/EiNi17/M/Ajv13TaQiZ95nSPpx5TViQdIWgX4v8o1tTYyrV79ElgcUY+kpwN7UvJ+1rC9RuWSIiKAtDBNJ4HF7U22RXJPVgDNTdLpwIuB7wEP947bPqhaURER40haEfh9M2G9NLCc7d/UrquNkZz4iYhukLRWBr8R0TVpYZreuMDi24DDbN9Ut6ruSLbkzEjad6LjttP2FbEQDXtg8aBJ2gBYn9I5BAzPatdM/ERERMRIm6yFqWdYBnWDkMDidiR9H5g2W9L2SVUK7AhJ59veqfn8Q7Y/UbumiFEy7IHFgyTpEGB7ysTPt4Gdgcts71GzrrayJDciIiJG3eYTHJvTwgRk4ocEFs9QsiXbWaXv89cBmfiJGKyhDiwesD0oK6Kut72fpFWBL1SuqbVM/ERERMRIs/2u3ufjWpiuBA6rVVcHJbC4Jdv/B3wO+FyyJaeU1oOIuoY6sHjAHrH9hKTHJC1HeT1cp3ZRbWXiJyIGIj3EEdFlE7Qw7ZEWpnmsXbuAYWT7UbI73GTWkXQ2ZfKw9/kctnerU1bEaLD995KOYCyw+GHgVbXr6qhrJK0AHA9cC/wBGJodipPxExEDkR7iiOiqcS1Mh6eFaWIJLI4FTdJ2U91v++JB1RIxqoY5sHgQJO0OXG77nr5jz6Ls6DU0mxpk4iciBkLSrbafL+l44Azb35V0YyZ+IqI2SU9Qlmzfy9ytJ2lh6pPA4oiI2WXYA4sHQdI3gC2BPwI/AC4HfmD71qqFzVAmfiJiICQdTlnp8wiwBbACcK7tF1UtLCJGnqS1pro/K4AKSUtRAov3prR9jQ8sPiaBxRERw0PSzYwFFm/UCyy2vWvl0jqnCerfEtiq+bgm8EPbr6haWEuZ+ImIgZG0ImM9xEtTlkj+pnZdETHa0sI0cwksjogYfpKutr2FpGuBHYCHgFtsP79yaZ0kaT1ga8rkz4uBe2zvULeqdhLuHBED0bxJeDOwbbMTzMXA56sWFRFRXCRp2hYm4KQ65XVPAosjImaFoQ4sHgRJ/0BZ4bMKcDtlx8+jgf9n+/Gatc1EVvxExEBI+gKwOHByc+jNwOO2/6ZeVRERaWGKqE3SusDBwFr0XZi2vWO1oiJmsdkSWDwIzXb3fwDOpeT7XGX7wbpVzVwmfiJiICYKck64c0R0TVqYIgZP0o2UVcDXAnOuoNu+tlpREbPYbAksHhRJK1Hau3otXssCN1Imz06sWVtbmfiJiIGQdB3wOts/a26vA3zD9gvrVhYRERE1SbrW9qa164gYNcMeWDxokhYDNgW2Bd4OrG170bpVtZOMn4gYlIMpORp3UrZIXgvYr25JERER0QHnSDoAOAv4U++g7fvqlRQx+9m+S9KSwFOaP0s1H6MhaTfKxNjWwPOBWykrpN7XfBwKWfETEQPTvLA8lzLx82NgF9tn1K0qIiIiapJ01wSHbXudgRcTMQImCSy+ErhpmAKLB0HSmTStcMC1tv9cuaT5komfiKhG0i9sr1m7joiIiIiIUTFbAosHQZI8zaRJm6+pLRM/EVGNpP+2vUbtOiIiIqIuSRsA61NaTQCwfUq9iiJmt9kQWDwIkr4PnAF8y/Yv+o4vAWwD7AtcZPukKgW2lImfiKgmK34iIiJC0iHA9pSJn28DOwOX2d6jZl0Ro2CYA4sHQdJSwFuBvYG1gQcoE9SLAucDx9i+oV6F7WTiJyIWKkk3AxM90QhY1/aSAy4pIiIiOqQZK2wEXG97I0mrAl+wvWvl0iJmpSkCiy+nrPi5t2J5nSVpcWBl4BHbD9SuZyayq1dELGy71C4gIiIiOu2IOU8tAAAGwklEQVQR209IekzScsA9QIKdIxaet1AmeT7AEAcWD5rtR4Ff165jfmTiJyIWtl/MhkC0iIiIWGiukbQCcDxwLSV09uq6JUXMaq/N+Hy0pNUrIhaq2RKIFhEREQufpGcBy9m+qXIpEbNWxuejJxM/EbFQzZZAtIiIiFiwJK0FPNDbRlrSDsDuwM+Bo9N+ErFwZHw+ejLxExEDM8yBaBEREbFgSboKeLXtX0naGLgA+ASwIfCo7b+pWmDECMj4fDRk4iciIiIiIgZO0k22N2w+/1fgCdsfkLQIcEPvvoiIeHIWqV1ARERERESMJPV9viNwIYDtJ+qUExExO2VXr4iIiIiIqOG/JJ1O2R55ReC/ACStBiTfJyJiAUmrV0REREREDJwkAXsCqwGn2/5lc3wT4Om2z6tZX0TEbJGJn4iIiIiIGDhJ8jRvRtp8TURETC0ZPxERERERUcNFkt4lac3+g5KWkLSjpJOBfSvVFhExa2TFT0REREREDJykpYC3AnsDawMPAEsBiwLnA8fYvqFehRERs0MmfiIiIiIioipJiwMrA4/YfqB2PRERs0kmfiIiIiIiIiIiZqlk/EREREREREREzFKZ+ImIiIiIiIiImKUy8RMRERERERERMUtl4iciIiImJWkFSQcsxL//PZKWnuZr7pa08gL8mdtL2qrv9jsk7bOg/v4nq0Z9knaXtP7C/BkRERFRRyZ+IiIiYiorAAtt4gd4DzDlxM9CsD0wZ2LF9udtnzLgGqayPYOvb3cgEz8RERGzUCZ+IiIiYiqHA8+WdIOkEyXtBiDpLEknNJ+/TdLHms/fJOnq5uv/Q9KizfGdJF0h6TpJX5e0rKSDgGcAF0m6qE0xkv5O0i3Nn/f0Hd9H0k2SbpR0anNsV0lXSbpe0gWSVpX0LOAdwHubGl8i6SOS3t98z8aSrmz+rrMkrdgc/76kI5p/208kvWSC2laTdEnz997S+5qJ/u3N8bslfbQ5frOk9VrU931Jn2l+zo8kbS7pTEl39P4Ppvl/+IOkw5rzdGVzTrYCdgM+1Xz9s9v8X0RERMRwyMRPRERETOXvgZ/Z3hg4D+hNeKzO2AqRbYBLJT0P2BPYuvn6x4G9mzatfwReavuFwDXA39n+d+BXwA62d5iuEEmbAvsBLwJeDOwvaRNJzwc+DOxoeyPg3c23XAa82PYmwFeBD9i+G/g88BnbG9u+dNyPOQX4oO0NgZuBQ/ruW8z2FpRVSocwrzcC5zX/9o2AGyb7t/d9z2+b48cC729RH8CfbW/bfN23gAOBDYC3SHraZP8PzfcuA1zZnKdLgP1tXw6cDRzc/MyfTfAzIyIiYkgtVruAiIiIGBqXAu9psmBuA1aUtBqwJXAQsC+wKfBDSQBPAe6hTNKsD/ygOb4EcMV8/PxtgLNsPwwg6UzKRJSBb9j+LYDt+5qvfybwtabGJYC7pvrLJS0PrGD74ubQycDX+77kzObjtcCzJvgrfgicIGlx4Ju2b5C0HVP/2/v/ztdMVV+fs5uPNwO32v51U/+dwBqU8zTR/wPAn4Fz+37my1r+zIiIiBhSmfiJiIiIVmz/sml9ejlltchKwOuBP9h+SGWW4WTbH+r/Pkm7At+zvdeTLEFTHPcEx48CPm37bEnbAx95kj//T83Hx5lgDGX7EknbAq8ETpX0KeB+pv63T/l3TvM9T/R93ru9GOV8zPP/0HjUdu9czeRnRkRExJBKq1dERERM5SHgqX23r6C0Ol1CWQH0/uYjwIXAHpKeDiBpJUlrAVcCW0t6TnN8aUnrTvL3T+USYPfm+5cBXt387AuB10t6Wu/nNl+/PPDL5vN9p/g3AWD7QeD+vvyeNwMXj/+6fpJWl3Rh8/lawD22jwe+CLxwmn/7ZGZyTiYy2f/DwvyZERER0VGZ+ImIiIhJ2f4dpU3plmYFy6WUrJufAtdRVv1c2nztbZQ8m/Ml3QR8D1jN9r3AW4CvNMevBNZrfsRxwHfahDvbvg44CbgauAr4gu3rbd8KHAZcLOlG4NPNt3wE+LqkS4Hf9v1V5wCv7oUnj/sx+1JCjm8CNgYOnaas1YDHms+3p+T6XA+8FvjsNP/2yUxV37Qm+3+Y5tu+ChzcBGEn3DkiImIW0dhq34iIiIiYCUl/C/zC9tnTfnFEREREBZn4iYiIiIiIiIiYpRLoFxEREZ0g6SpgyXGH32z75hr1RERERMwGWfETERERERERETFLJdw5IiIiIiIiImKWysRPRERERERERMQslYmfiIiIiIiIiIhZKhM/ERERERERERGzVCZ+IiIiIiIiIiJmqf8PqfHYUZWSPfwAAAAASUVORK5CYII=\n"},"metadata":{"needs_background":"light"}}]},{"cell_type":"code","source":"counts = sentiment_predictions.groupby('user_timezone')['sentiment'].value_counts()\ncounts[counts>100].plot.bar(figsize=(20,8), title='Sentiment counts grouped by user location')","metadata":{"trusted":true},"execution_count":12,"outputs":[{"execution_count":12,"output_type":"execute_result","data":{"text/plain":"<matplotlib.axes._subplots.AxesSubplot at 0x7fcd8a0c7a10>"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"<Figure size 1440x576 with 1 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\n"},"metadata":{"needs_background":"light"}}]}]}